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20242026
most citedSimulated patient systems powered by large language model-based AI agents offer potential for transforming medical education

7 citations · 11 across the 6 of their papers we have counts for

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cs.CL2025

Toward Equitable Access: Leveraging Crowdsourced Reviews to Investigate Public Perceptions of Health Resource Accessibility

Zhaoqian Xue, Guanhong Liu, Chong Zhang +7

Monitoring health resource disparities during public health crises is critical, yet traditional methods, like surveys, lack the requisite speed and spatial granularity. This study…

cs.CL2025

Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical education

Huizi Yu, Jiayan Zhou, Lingyao Li +22

Background: Simulated patient systems are important in medical education and research, providing safe, integrative training environments and supporting clinical decision making. Ad…

cs.CL2025

Cache Mechanism for Agent RAG Systems

Shuhang Lin, Zhencan Peng, Lingyao Li +3

Recent advances in Large Language Model (LLM)-based agents have been propelled by Retrieval-Augmented Generation (RAG), which grants the models access to vast external knowledge ba…

cs.CL2025

DispatchMAS: Fusing taxonomy and artificial intelligence agents for emergency medical services

Xiang Li, Huizi Yu, Wenkong Wang +17

Objective: Emergency medical dispatch (EMD) is a high-stakes process challenged by caller distress, ambiguity, and cognitive load. Large Language Models (LLMs) and Multi-Agent Syst…

cs.CL2025

NPHardEval4V: Dynamic Evaluation of Large Vision-Language Models with Effects of Vision

Xiang Li, Wenyue Hua, Kaijie Zhu +8

Large Vision-Language Models (LVLMs) have demonstrated impressive capabilities in multimodal understanding, yet their reasoning abilities remain underexplored. Existing benchmarks…